IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i5p712-d1397317.html
   My bibliography  Save this article

Mechanism of Vegetation Greenness Change and Its Correlation with Terrestrial Water Storage in the Tarim River Basin

Author

Listed:
  • Tingting Xia

    (College of Grassland Science, Xinjiang Agricultural University, Urumqi 830052, China)

  • Xuan Xue

    (College of Resources and Environment, Xinjiang Agricultural University, Urumqi 830052, China)

  • Haowei Wang

    (College of Resources and Environment, Xinjiang Agricultural University, Urumqi 830052, China)

  • Zhen Zhu

    (College of Grassland Science, Xinjiang Agricultural University, Urumqi 830052, China)

  • Zhi Li

    (State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, CAS, Urumqi 830011, China)

  • Yang Wang

    (College of Grassland Science, Xinjiang Agricultural University, Urumqi 830052, China)

Abstract

The response of dryland vegetation to climate change is particularly sensitive in the context of global climate change. This paper analyzes the characteristics of spatial and temporal dynamics of vegetation cover in the Tarim River Basin, China, and its driving factors in order to investigate the response of vegetation growth to water storage changes in the basin. The Enhanced Vegetation Index (EVI), the GRACE gravity satellite, and meteorological data from 2002 to 2022 are used to decipher the characteristics of the response of water storage changes to vegetation changes, which is of great significance to the realization of regional ecological development and sustainable development. The results of the study show the following: (1) The vegetation in the Tarim River Basin has an overall increasing trend, which is mainly distributed in the Aksu Basin and the Weigangkuche River Basin and is spatially distributed in the form of a ring. (2) Vegetation distribution greatly improved during the 20-year study period, dominated by high-cover vegetation, with a change rate of 200.36%. Additionally, vegetation changes are centered on the watersheds and expand to the surrounding area, with a clear increase in vegetation in the Kumukuri Basin. Areas with a vegetation Hurst index of <0.5 account for 63.27% of the study area, and the areas with a continuous decrease were mainly located in the outer contour area of the Tarim River and Kumu Kuri Basins. (3) There are obvious spatial differences in the correlation between EVI and temperature and precipitation elements. The proportion of areas with positive correlation with temperature within the study area is 64.67%. EVI tends to be consistent with the direction of migration of the center of gravity of the population and GDP, and the areas with positive correlation between vegetation and terrestrial water reserves are mainly distributed in the northern slopes of the Kunlun Mountains, with an area proportion of about 50.513%. The Kumukuli Basin also shows significantly positive correlation.

Suggested Citation

  • Tingting Xia & Xuan Xue & Haowei Wang & Zhen Zhu & Zhi Li & Yang Wang, 2024. "Mechanism of Vegetation Greenness Change and Its Correlation with Terrestrial Water Storage in the Tarim River Basin," Land, MDPI, vol. 13(5), pages 1-22, May.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:5:p:712-:d:1397317
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/5/712/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/13/5/712/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Miyesier Jumai & Alimujiang Kasimu & Hongwu Liang & Lina Tang & Yimuranzi Aizizi & Xueling Zhang, 2023. "A Study on the Spatial and Temporal Variation of Summer Surface Temperature in the Bosten Lake Basin and Its Influencing Factors," Land, MDPI, vol. 12(6), pages 1-18, June.
    2. Jushuang Qin & Menglu Ma & Jiabin Shi & Shurui Ma & Baoguo Wu & Xiaohui Su, 2023. "The Time-Lag Effect of Climate Factors on the Forest Enhanced Vegetation Index for Subtropical Humid Areas in China," IJERPH, MDPI, vol. 20(1), pages 1-18, January.
    3. Shanshan Wang & Qiting Zuo & Kefa Zhou & Jinlin Wang & Wei Wang, 2023. "Predictions of Land Use/Land Cover Change and Landscape Pattern Analysis in the Lower Reaches of the Tarim River, China," Land, MDPI, vol. 12(5), pages 1-17, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Weitao Lv & Xiasong Hu & Xilai Li & Jimei Zhao & Changyi Liu & Shuaifei Li & Guorong Li & Haili Zhu, 2024. "Multi-Model Comprehensive Inversion of Surface Soil Moisture from Landsat Images Based on Machine Learning Algorithms," Sustainability, MDPI, vol. 16(9), pages 1-21, April.
    2. Ying Li & Xu Han & Bingbing Zhou & Ligang Lv & Yeting Fan, 2023. "Farmland Dynamics and Its Grain Production Efficiency and Ecological Security in China’s Major Grain-Producing Regions between 2000 and 2020," Land, MDPI, vol. 12(7), pages 1-17, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:13:y:2024:i:5:p:712-:d:1397317. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.